Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDLu Yuan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j30]Qiankun Liu, Dongdong Chen, Qi Chu, Lu Yuan, Bin Liu, Lei Zhang, Nenghai Yu:
Online multi-object tracking with unsupervised re-identification learning and occlusion estimation. Neurocomputing 483: 333-347 (2022)- [j29]Lu Yuan
, Hao Zhang, Ming Xu, Fuhui Zhou, Qihui Wu:
A Multiscale CNN Framework for Wireless Technique Classification in Internet of Things. IEEE Internet Things J. 9(12): 10366-10367 (2022) - [j28]Zhenbing Liu, Lu Yuan, Long Sun:
Frequency separation-based multi-scale cascading residual block network for image super resolution. Multim. Tools Appl. 81(5): 6827-6848 (2022) - [j27]Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu:
Efficient Semantic Image Synthesis via Class-Adaptive Normalization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4852-4866 (2022) - [j26]Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Lu Yuan, Gang Hua, Nenghai Yu:
E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion. IEEE Trans. Image Process. 31: 3267-3280 (2022) - [c56]Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao:
Efficient Self-supervised Vision Transformers for Representation Learning. ICLR 2022 - [i84]Qiankun Liu, Dongdong Chen, Qi Chu, Lu Yuan, Bin Liu, Lei Zhang, Nenghai Yu:
Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation. CoRR abs/2201.01297 (2022) - [i83]Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Jianwei Yang, Xiyang Dai, Bin Xiao, Haoxuan You, Shih-Fu Chang, Lu Yuan:
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks. CoRR abs/2201.05729 (2022) - [i82]Dengpan Fu, Dongdong Chen, Hao Yang, Jianmin Bao, Lu Yuan, Lei Zhang, Houqiang Li, Fang Wen, Dong Chen:
Large-Scale Pre-training for Person Re-identification with Noisy Labels. CoRR abs/2203.16533 (2022) - [i81]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao:
Unified Contrastive Learning in Image-Text-Label Space. CoRR abs/2204.03610 (2022) - [i80]Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan:
DaViT: Dual Attention Vision Transformers. CoRR abs/2204.03645 (2022) - [i79]Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan:
MiniViT: Compressing Vision Transformers with Weight Multiplexing. CoRR abs/2204.07154 (2022) - [i78]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR abs/2204.09222 (2022) - [i77]Lemeng Wu, Mengchen Liu, Yinpeng Chen, Dongdong Chen, Xiyang Dai, Lu Yuan:
Residual Mixture of Experts. CoRR abs/2204.09636 (2022) - [i76]Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Xiyang Dai, Bin Xiao, Jianwei Yang, Haoxuan You, Kai-Wei Chang, Shih-Fu Chang, Lu Yuan:
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks. CoRR abs/2204.10496 (2022) - [i75]Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR abs/2205.01818 (2022) - [i74]Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu:
Reduce Information Loss in Transformers for Pluralistic Image Inpainting. CoRR abs/2205.05076 (2022) - [i73]Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan:
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. CoRR abs/2206.01201 (2022) - [i72]Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng:
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning. CoRR abs/2206.01843 (2022) - [i71]Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang:
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding. CoRR abs/2206.03484 (2022) - [i70]Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao:
GLIPv2: Unifying Localization and Vision-Language Understanding. CoRR abs/2206.05836 (2022) - [i69]Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li:
Semantic Image Synthesis via Diffusion Models. CoRR abs/2207.00050 (2022) - [i68]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Jing Yin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos:
Should All Proposals be Treated Equally in Object Detection? CoRR abs/2207.03520 (2022) - [i67]Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu:
Bootstrapped Masked Autoencoders for Vision BERT Pretraining. CoRR abs/2207.07116 (2022) - [i66]Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan:
TinyViT: Fast Pretraining Distillation for Small Vision Transformers. CoRR abs/2207.10666 (2022) - [i65]Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan:
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. CoRR abs/2207.12661 (2022) - [i64]Rui Wang, Zuxuan Wu, Dongdong Chen, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Luowei Zhou, Lu Yuan, Yu-Gang Jiang:
Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling. CoRR abs/2208.12257 (2022) - [i63]Xiaoyi Dong, Yinglin Zheng, Jianmin Bao, Ting Zhang, Dongdong Chen, Hao Yang, Ming Zeng, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu:
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining. CoRR abs/2208.12262 (2022) - [i62]Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. CoRR abs/2208.13753 (2022) - 2021
- [j25]Zhenbing Liu, Kaijie Wang, Zimin Wang, Haoxiang Lu, Lu Yuan:
PatchNet: a tiny low-light image enhancement net. J. Electronic Imaging 30(3) (2021) - [j24]Chenlin Huang, Wei Chen, Lu Yuan, Yan Ding, Songlei Jian, Yusong Tan, Hua Chen, Dan Chen:
Toward security as a service: A trusted cloud service architecture with policy customization. J. Parallel Distributed Comput. 149: 76-88 (2021) - [j23]Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen:
A General Decoupled Learning Framework for Parameterized Image Operators. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 33-47 (2021) - [j22]Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua:
Explicit Filterbank Learning for Neural Image Style Transfer and Image Processing. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2373-2387 (2021) - [j21]Wei Wu, Zi Wang, Lu Yuan, Fuhui Zhou, Fei Lang, Baoyun Wang, Qihui Wu:
IRS-Enhanced Energy Detection for Spectrum Sensing in Cognitive Radio Networks. IEEE Wirel. Commun. Lett. 10(10): 2254-2258 (2021) - [j20]Hao Zhang, Lu Yuan, Guangyu Wu, Fuhui Zhou, Qihui Wu:
Automatic Modulation Classification Using Involution Enabled Residual Networks. IEEE Wirel. Commun. Lett. 10(11): 2417-2420 (2021) - [c55]Lu Yuan, Alison Garaudy:
Ergonomics of Virtual Learning During COVID-19. AHFE (11) 2021: 299-306 - [c54]Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang:
Dynamic Head: Unifying Object Detection Heads With Attentions. CVPR 2021: 7373-7382 - [c53]Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang:
Lite-HRNet: A Lightweight High-Resolution Network. CVPR 2021: 10440-10450 - [c52]Yunsheng Li, Lu Yuan, Yinpeng Chen, Pei Wang, Nuno Vasconcelos:
Dynamic Transfer for Multi-Source Domain Adaptation. CVPR 2021: 10998-11007 - [c51]Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen:
Unsupervised Pre-Training for Person Re-Identification. CVPR 2021: 14750-14759 - [c50]Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang:
CvT: Introducing Convolutions to Vision Transformers. ICCV 2021: 22-31 - [c49]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos:
MicroNet: Improving Image Recognition with Extremely Low FLOPs. ICCV 2021: 458-467 - [c48]Xiyang Dai, Yinpeng Chen, Jianwei Yang, Pengchuan Zhang, Lu Yuan, Lei Zhang:
Dynamic DETR: End-to-End Object Detection with Dynamic Attention. ICCV 2021: 2968-2977 - [c47]Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang, Jianfeng Gao:
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. ICCV 2021: 2978-2988 - [c46]Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu:
Improve Unsupervised Pretraining for Few-label Transfer. ICCV 2021: 10181-10190 - [c45]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos:
Revisiting Dynamic Convolution via Matrix Decomposition. ICLR 2021 - [c44]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. NeurIPS 2021: 19974-19988 - [c43]Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan:
Stronger NAS with Weaker Predictors. NeurIPS 2021: 28904-28918 - [c42]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao:
Focal Attention for Long-Range Interactions in Vision Transformers. NeurIPS 2021: 30008-30022 - [i61]Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan:
Weak NAS Predictors Are All You Need. CoRR abs/2102.10490 (2021) - [i60]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos:
Revisiting Dynamic Convolution via Matrix Decomposition. CoRR abs/2103.08756 (2021) - [i59]Yunsheng Li, Lu Yuan, Yinpeng Chen, Pei Wang, Nuno Vasconcelos:
Dynamic Transfer for Multi-Source Domain Adaptation. CoRR abs/2103.10583 (2021) - [i58]Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang, Jianfeng Gao:
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. CoRR abs/2103.15358 (2021) - [i57]Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang:
CvT: Introducing Convolutions to Vision Transformers. CoRR abs/2103.15808 (2021) - [i56]Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang:
Lite-HRNet: A Lightweight High-Resolution Network. CoRR abs/2104.06403 (2021) - [i55]Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Lu Yuan, Gang Hua, Nenghai Yu:
A Simple Baseline for StyleGAN Inversion. CoRR abs/2104.07661 (2021) - [i54]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. CoRR abs/2106.04533 (2021) - [i53]Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang:
Dynamic Head: Unifying Object Detection Heads with Attentions. CoRR abs/2106.08322 (2021) - [i52]Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao:
Efficient Self-supervised Vision Transformers for Representation Learning. CoRR abs/2106.09785 (2021) - [i51]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao:
Focal Self-attention for Local-Global Interactions in Vision Transformers. CoRR abs/2107.00641 (2021) - [i50]Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo:
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows. CoRR abs/2107.00652 (2021) - [i49]Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu:
Improve Unsupervised Pretraining for Few-label Transfer. CoRR abs/2107.12369 (2021) - [i48]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos:
MicroNet: Improving Image Recognition with Extremely Low FLOPs. CoRR abs/2108.05894 (2021) - [i47]Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu:
Mobile-Former: Bridging MobileNet and Transformer. CoRR abs/2108.05895 (2021) - [i46]Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu:
Unsupervised Finetuning. CoRR abs/2110.09510 (2021) - [i45]Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng:
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CoRR abs/2111.02387 (2021) - [i44]Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang:
Florence: A New Foundation Model for Computer Vision. CoRR abs/2111.11432 (2021) - [i43]Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu:
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers. CoRR abs/2111.12710 (2021) - [i42]Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo:
Vector Quantized Diffusion Model for Text-to-Image Synthesis. CoRR abs/2111.14822 (2021) - [i41]Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan:
BEVT: BERT Pretraining of Video Transformers. CoRR abs/2112.01529 (2021) - [i40]Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, Fang Wen:
General Facial Representation Learning in a Visual-Linguistic Manner. CoRR abs/2112.03109 (2021) - [i39]Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. CoRR abs/2112.03857 (2021) - [i38]Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, Nenghai Yu:
HairCLIP: Design Your Hair by Text and Reference Image. CoRR abs/2112.05142 (2021) - [i37]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CoRR abs/2112.09106 (2021) - 2020
- [j19]Dongdong Chen, Qingnan Fan, Jing Liao, Angelica I. Avilés-Rivero, Lu Yuan, Nenghai Yu, Gang Hua:
Controllable Image Processing via Adaptive FilterBank Pyramid. IEEE Trans. Image Process. 29: 8043-8054 (2020) - [j18]Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu:
MichiGAN: multi-input-conditioned hair image generation for portrait editing. ACM Trans. Graph. 39(4): 95 (2020) - [c41]Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen:
Cross-Domain Correspondence Learning for Exemplar-Based Image Translation. CVPR 2020: 5142-5152 - [c40]Chengzhou Tang, Lu Yuan, Ping Tan:
LSM: Learning Subspace Minimization for Low-Level Vision. CVPR 2020: 6234-6245 - [c39]Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu:
Rethinking Classification and Localization for Object Detection. CVPR 2020: 10183-10192 - [c38]Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic Convolution: Attention Over Convolution Kernels. CVPR 2020: 11027-11036 - [c37]Suichan Li, Bin Liu, Dongdong Chen, Qi Chu, Lu Yuan, Nenghai Yu:
Density-Aware Graph for Deep Semi-Supervised Visual Recognition. CVPR 2020: 13397-13406 - [c36]Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic ReLU. ECCV (19) 2020: 351-367 - [c35]Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan:
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search. ECCV (27) 2020: 584-600 - [c34]Jie Ren, Lu Yuan, Petteri Nurmi, Xiaoming Wang, Miao Ma, Ling Gao, Zhanyong Tang, Jie Zheng, Zheng Wang:
Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions. INFOCOM 2020: 119-128 - [c33]Yun Li, Chenlin Huang, Lu Yuan, Yan Ding, Hua Cheng:
ASPGen: an Automatic Security Policy Generating Framework for AppArmor. ISPA/BDCloud/SocialCom/SustainCom 2020: 392-400 - [c32]Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen:
GreedyFool: Distortion-Aware Sparse Adversarial Attack. NeurIPS 2020 - [i36]Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic ReLU. CoRR abs/2003.10027 (2020) - [i35]Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan:
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search. CoRR abs/2003.12563 (2020) - [i34]Suichan Li, Bin Liu, Dongdong Chen, Qi Chu, Lu Yuan, Nenghai Yu:
Density-Aware Graph for Deep Semi-Supervised Visual Recognition. CoRR abs/2003.13194 (2020) - [i33]Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Nenghai Yu:
Rethinking Spatially-Adaptive Normalization. CoRR abs/2004.02867 (2020) - [i32]Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen:
Cross-domain Correspondence Learning for Exemplar-based Image Translation. CoRR abs/2004.05571 (2020) - [i31]Chengzhou Tang, Lu Yuan, Ping Tan:
LSM: Learning Subspace Minimization for Low-level Vision. CoRR abs/2004.09197 (2020) - [i30]Jie Ren, Lu Yuan, Petteri Nurmi, Xiaoming Wang, Miao Ma, Ling Gao, Zhanyong Tang, Jie Zheng, Zheng Wang:
Smart, Adaptive Energy Optimization for Mobile Web Interactions. CoRR abs/2005.00749 (2020) - [i29]Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen:
GreedyFool: Distortion-Aware Sparse Adversarial Attack. CoRR abs/2010.13773 (2020) - [i28]Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu:
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing. CoRR abs/2010.16417 (2020) - [i27]Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos:
MicroNet: Towards Image Recognition with Extremely Low FLOPs. CoRR abs/2011.12289 (2020) - [i26]Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen:
Unsupervised Pre-training for Person Re-identification. CoRR abs/2012.03753 (2020) - [i25]Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu:
Semantic Image Synthesis via Efficient Class-Adaptive Normalization. CoRR abs/2012.04644 (2020) - [i24]Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Nenghai Yu:
Are Fewer Labels Possible for Few-shot Learning? CoRR abs/2012.05899 (2020)
2010 – 2019
- 2019
- [j17]Zhongkai He, Guixin Ye, Lu Yuan, Zhanyong Tang, Xiaofeng Wang, Jie Ren, Wei Wang, Jianfeng Yang, Dingyi Fang, Zheng Wang:
Exploiting Binary-Level Code Virtualization to Protect Android Applications Against App Repackaging. IEEE Access 7: 115062-115074 (2019) - [j16]Lu Yuan, Jie Ren, Ling Gao, Zhanyong Tang, Zheng Wang:
Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Systems. IEEE Access 7: 139394-139408 (2019) - [j15]Shuai Wang, Dingyi Fang, Zheng Wang, Guixin Ye, Meng Li, Lu Yuan, Zhanyong Tang, Huanting Wang, Wei Wang, Fuwei Wang, Jie Ren:
Leveraging WebAssembly for Numerical JavaScript Code Virtualization. IEEE Access 7: 182711-182724 (2019) - [j14]Mingming He, Jing Liao, Dongdong Chen, Lu Yuan, Pedro V. Sander:
Progressive Color Transfer With Dense Semantic Correspondences. ACM Trans. Graph. 38(2): 13:1-13:18 (2019) - [c31]Zixin Zhao, Ling Gao, Jie Ren, Lu Yuan, Chenguang Qin, Hai Wang, Jie Zheng:
Optimization for Mobile Streaming Media Based on Deep Q-Learning. CBD 2019: 285-290 - [c30]Shuyang Gu, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen, Lu Yuan:
Mask-Guided Portrait Editing With Conditional GANs. CVPR 2019: 3436-3445 - [c29]Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, Lu Yuan:
Face Parsing With RoI Tanh-Warping. CVPR 2019: 5654-5663 - [c28]Yunsheng Li, Lu Yuan, Nuno Vasconcelos:
Bidirectional Learning for Domain Adaptation of Semantic Segmentation. CVPR 2019: 6936-6945 - [c27]Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen:
Deep Exemplar-Based Video Colorization. CVPR 2019: 8052-8061 - [c26]Dongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, Gang Hua:
Gated Context Aggregation Network for Image Dehazing and Deraining. WACV 2019: 1375-1383 - [i23]Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu:
Rethinking Classification and Localization in R-CNN. CoRR abs/1904.06493 (2019) - [i22]Yunsheng Li, Lu Yuan, Nuno Vasconcelos:
Bidirectional Learning for Domain Adaptation of Semantic Segmentation. CoRR abs/1904.10620 (2019) - [i21]